Quantitative variation in expression of the floral repressor influences whether plants overwinter before flowering, or have a rapid cycling habit enabling multiple generations a year. Genetic analysis has identified activators and repressors of expression but how they interact to set expression level is poorly understood. Here, we show that antagonistic functions of the activator FRIGIDA (FRI) and the repressor FCA, at a specific stage of embryo development, determine expression and flowering. FRI antagonizes an FCA-induced proximal polyadenylation to increase expression and delay flowering. Sector analysis shows that FRI activity during the early heart stage of embryo development maximally delays flowering. Opposing functions of cotranscriptional regulators during an early embryonic developmental window thus set expression levels and determine flowering time.
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http://dx.doi.org/10.1073/pnas.2102753118 | DOI Listing |
Biochem Genet
January 2025
Department of Gynecology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
This study aimed to identify shared gene expression related to circadian rhythm disruption in polycystic ovary syndrome (PCOS) and non-alcoholic fatty liver disease (NAFLD) to discover common diagnostic biomarkers. Visceral fat RNA samples were collected from 12 PCOS and 14 non-PCOS patients, a sample size representing the clinical situation and sufficient to capture PCOS gene expression profiles. Along with liver transcriptome profiles from NAFLD patients, these data were analyzed to identify crosstalk circadian rhythm-related genes (CRRGs) between the diseases.
View Article and Find Full Text PDFJ Mol Evol
January 2025
Faculty of Biology, Institute of Evolutionary Biology, University of Warsaw, Ul. Żwirki I Wigury 101, 02-089, Warsaw, Poland.
Expansion and losses of gene families are important drivers of molecular evolution. A recent survey of Fox genes in flatworms revealed that this superfamily of multifunctional transcription factors, present in all animals, underwent extensive losses and expansions during platyhelminth evolution. In this paper, I analyzed Fox gene complement in four additional species of platyhelminths, that represent early-branching lineages in the flatworm phylogeny: catenulids (Stenostomum brevipharyngium and Stenostomum leucops) and macrostomorphs (Macrostomum hystrix and Macrostomum cliftonense).
View Article and Find Full Text PDFVirulence
December 2025
Manchester Fungal Infection Group (MFIG), Division of Evolution, Infection, and Genomics, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Sulfur metabolism is an essential aspect of fungal physiology and pathogenicity. Fungal sulfur metabolism comprises anabolic and catabolic routes that are not well conserved in mammals, therefore is considered a promising source of prospective novel antifungal targets. To gain insight into sulfur-related metabolism during infection, we used a NanoString custom nCounter-TagSet and compared the expression of 68 key metabolic genes in different murine models of invasive pulmonary aspergillosis, at 3 time-points, and under a variety of conditions.
View Article and Find Full Text PDFCancer Cell Int
January 2025
Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Ruijin 2nd Road, Shanghai, 20025, China.
Background: Methyltransferase-like (METTL) family protein plays a crucial role in the progression of malignancies. However, the function of METTL17 across pan-cancers, especially in hepatocellular carcinoma (HCC) is still poorly understood.
Methods: All original data were downloaded from TCGA, GTEx, HPA, UCSC databases and various data portals.
Genome Med
January 2025
Department of Systems Biology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, 10032, USA.
Background: Despite extensive analysis, the dynamic changes in prostate epithelial cell states during tissue homeostasis as well as tumor initiation and progression have been poorly characterized. However, recent advances in single-cell RNA-sequencing (scRNA-seq) technology have greatly facilitated studies of cell states and plasticity in tissue maintenance and cancer, including in the prostate.
Methods: We have performed meta-analyses of new and previously published scRNA-seq datasets for mouse and human prostate tissues to identify and compare cell populations across datasets in a uniform manner.
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